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Josephina Paul


In this paper, we propose an improved fusion technique for the change detection of remote sensing images. Two difference images, one log ratio image and other a difference image generated by subtraction were fused in the undecimated wavelet domain, as UWT is good in representing images into multiscale, pyramidal form. The resultant sub band images were segmented with a Particle Swarm Optimization algorithm with Levy flights due to its robustness against local optima, unlike the standard PSO. The accuracy metrics - Percent Correct Clustering (PCC) and Kappa statistic - were used to compare the performance of the proposed method with a few other algorithms and found to be outperforming.


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